Another challenge for person ReID is to preserve the privacy of the person images [1]}.
The person images contain sensitive private information, such as individuals' identities, locations, genders, ethnicity, and even facial features [2]}.
Sharing these sensitive person images for model training and data analytics is infeasible due to the potential risk of privacy leakage and the expensive communication costs for data transmission.
Besides, many EU/UK countries have issued privacy protection regulations (e.g., GDPR [3]}) to prohibit the centralization of sensitive data from in-situ devices.
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